get list of unique values in pandas column
a = df['column name'].unique() #returns a list of unique values
get list of unique values in pandas column
a = df['column name'].unique() #returns a list of unique values
count unique values pandas
df['hID'].nunique()
5
Count unique values Pandas
df = df.groupby('domain')['ID'].nunique()
pandas unique values to list
df.groupby('param')['column'].nunique().sort_values(ascending=False).unique().tolist()
unique rows in dataframe
In [33]: df[df.columns[df.apply(lambda s: len(s.unique()) > 1)]]
Out[33]:
A B
0 0 a
1 1 b
2 2 c
3 3 d
4 4 e
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